From Thermal Field Theory to Neural Networks PDF Download
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Author: Tanguy Altherr
Publisher: World Scientific
ISBN: 9810226101
Category : Science
Languages : en
Pages : 105
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Book Description
Tanguy Altherr was a Fellow in the Theory Division at CERN, on leave from LAPP (CNRS) Annecy. At the time of his accidental death in July 1994, he was only 31.A meeting was organized at CERN, covering the various aspects of his scientific interests: thermal field theory and its applications to hot or dense media, neural networks and its applications to high energy data analysis. Speakers were among his closest collaborators and friends.
Author: Tanguy Altherr
Publisher: World Scientific
ISBN: 9810226101
Category : Science
Languages : en
Pages : 105
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Book Description
Tanguy Altherr was a Fellow in the Theory Division at CERN, on leave from LAPP (CNRS) Annecy. At the time of his accidental death in July 1994, he was only 31.A meeting was organized at CERN, covering the various aspects of his scientific interests: thermal field theory and its applications to hot or dense media, neural networks and its applications to high energy data analysis. Speakers were among his closest collaborators and friends.
Author: Gabriele Veneziano
Publisher: World Scientific
ISBN: 9814499196
Category : Science
Languages : en
Pages : 105
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Book Description
Tanguy Altherr was a Fellow in the Theory Division at CERN, on leave from LAPP (CNRS) Annecy. At the time of his accidental death in July 1994, he was only 31.A meeting was organized at CERN, covering the various aspects of his scientific interests: thermal field theory and its applications to hot or dense media, neural networks and its applications to high energy data analysis. Speakers were among his closest collaborators and friends.
Author: P. Aurenche
Publisher:
ISBN:
Category :
Languages : it
Pages : 0
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Book Description
Author: Moritz Helias
Publisher: Springer Nature
ISBN: 303046444X
Category : Science
Languages : en
Pages : 203
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Book Description
This book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks. These powerful analytical techniques, which are well established in other fields of physics, are the basis of current developments and offer solutions to pressing open problems in theoretical neuroscience and also machine learning. They enable a systematic and quantitative understanding of the dynamics in recurrent and stochastic neuronal networks. This book is intended for physicists, mathematicians, and computer scientists and it is designed for self-study by researchers who want to enter the field or as the main text for a one semester course at advanced undergraduate or graduate level. The theoretical concepts presented in this book are systematically developed from the very beginning, which only requires basic knowledge of analysis and linear algebra.
Author: P. S. Neelakanta
Publisher: CRC Press
ISBN: 1351428969
Category : Technology & Engineering
Languages : en
Pages : 259
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Book Description
Neural Network Modeling offers a cohesive approach to the statistical mechanics and principles of cybernetics as a basis for neural network modeling. It brings together neurobiologists and the engineers who design intelligent automata to understand the physics of collective behavior pertinent to neural elements and the self-control aspects of neurocybernetics. The theoretical perspectives and explanatory projections portray the most current information in the field, some of which counters certain conventional concepts in the visualization of neuronal interactions.
Author: Herbert Martin Fried
Publisher: World Scientific
ISBN: 9814546534
Category :
Languages : en
Pages : 428
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Book Description
During the week of 3-8 June 1996, approximately 83 theoretical (and 2 experimental) physicists interested in the current problems of Quantum Chromodynamics (QCD) gathered at the American University of Paris, France, to present and discuss a total of 59 papers on Collisions, Confinement, and Chaos in QCD. Each of these three subfields filled at least two half-day sessions; and another four half-day sessions were devoted to miscellaneous and interesting papers on Quantum Field Theory (QFT), and especially on the proper construction of high-energy scattering amplitudes.
Author: Berndt Müller
Publisher: Springer Science & Business Media
ISBN: 3642577601
Category : Computers
Languages : en
Pages : 340
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Book Description
Neural Networks presents concepts of neural-network models and techniques of parallel distributed processing in a three-step approach: - A brief overview of the neural structure of the brain and the history of neural-network modeling introduces to associative memory, preceptrons, feature-sensitive networks, learning strategies, and practical applications. - The second part covers subjects like statistical physics of spin glasses, the mean-field theory of the Hopfield model, and the "space of interactions" approach to the storage capacity of neural networks. - The final part discusses nine programs with practical demonstrations of neural-network models. The software and source code in C are on a 3 1/2" MS-DOS diskette can be run with Microsoft, Borland, Turbo-C, or compatible compilers.
Author: Gastao Krein
Publisher: World Scientific
ISBN: 9814491810
Category : Science
Languages : en
Pages : 508
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Book Description
This book presents a recent survey of the advances in hadron physics. The main topics are nonperturbative high energy processes in QCD, deep inelastic scattering and perturbative QCD, RHIC and quark-gluon plasma physics and effective theories for low energy QCD.The book contains four series of lectures written in a pedagogical style and a number of short papers on the main subject. They will benefit researchers who want to be familiar with the frontiers of hadron physics and its connection with the large experimental programs under development in laboratories such as the Relativistic Heavy Ion Collider (RHIC) and the Thomas Jefferson National Laboratory.
Author: Michael A. Buice
Publisher:
ISBN:
Category : Field theory (Physics)
Languages : en
Pages : 180
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Book Description
Author: John A. Hertz
Publisher: CRC Press
ISBN: 0429979290
Category : Science
Languages : en
Pages : 289
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Book Description
Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides coverage of neural network applications in a variety of problems of both theoretical and practical interest.
